International Sales Executive

Job Title: Sensor Expert – MLFF (Multi-Lane Free Flow) Engagement Type: Consultant / External Associate Organization: Bosch - MPIN

Location: Bangalore, India

Purpose of the Role:

To provide technical expertise in sensing technologies for MLFF (Multi-Lane Free Flow) and ITMS (Intelligent Traffic Management System) solutions. The role focuses on camera systems, AI/ML based computer vision, and multi-sensor integration (camera, RFID, radar) to drive solution performance, optimization, and business success. Key

Responsibilities:

• Lead end-to-end sensor integration for MLFF and ITMS platforms.

• Manage camera systems, ANPR, and data packet processing.

• Apply AI/ML techniques for performance optimization in computer vision.

• Collaborate with System Integrators and internal teams on architecture and implementation.

• Support B2G proposals (smart city, mining, infrastructure projects) with domain expertise.

• Drive continuous improvement in deployed MLFF solutions. 

Key Competencies:

• Deep understanding of camera and sensor technologies, AI/ML for vision systems, and system integration.

• Experience in PoC development and solution optimization.

• Strong analytical, problem-solving, and collaboration skills.

• Familiarity with B2G environments and public infrastructure tenders preferred.

Qualification & Experience:

• Bachelor’s/Master’s in Electronics, Electrical, or Computer Science.

• 8–10 years of experience in camera technology, AI/ML, and sensor integration.

• Proven track record in system design, implementation, and field optimization.

Data - AI / ML Engineer 

Full-Time   |   On-site, Kolkata   |   Immediate Joining   |   4+ years experience

ABOUT US 

Company Name: Freeflow ventures

We are a venture building and investment firm focused on emerging markets across India, the Middle East, and Africa. We work with early-stage startups -diagnosing gaps, structuring interventions, and preparing them for investor-readiness through a proprietary data and intelligence platform.

Our platform combines automated data verification, startup scoring, and structured workflow automation to bring consistency and credibility to early-stage investment decisions. We are at an active build and expansion phase, and this role sits at the core of that infrastructure.

ROLE OVERVIEW

We are looking for a Data - AI / ML Engineer who can own both the data pipelines that bring verified information into our platform and the intelligence models that turn that information into reliable startup scores.

This is a dual-responsibility role. You will be expected to build and maintain robust data infrastructure as well as develop, calibrate, and improve machine learning models. Both are equally important to the platform.

You will work closely with the Platform Owner and alongside a Backend Engineer who owns system integrations and workflow logic. Your work produces the scored intelligence output. The Backend Engineer's work connects that output to platform actions. The two roles are tightly interdependent and require close daily collaboration, especially in the first 30 days.

Note: You are the first technical hire on the platform team. The Backend Engineer joins the same week. Clear communication, well-defined handoff points, and shared documentation between the two of you are non-negotiable from Day 1.

WHAT YOU WILL DO

Data Pipeline

• Build and maintain pipelines that collect, clean, and normalize data from multiple external sources into a consistent, usable format
• Design connector architecture that allows individual data sources to be added, swapped, or removed without rebuilding the entire pipeline
• Implement automated data quality checks that catch bad data before it reaches the scoring layer -anomaly detection, constraint enforcement, and schema validation
• Build an automated eligibility screening system that verifies whether a startup has sufficient verified data before assessment begins
• Ensure the pipeline is resilient -critical data signals must have backup sources so a single vendor failure does not disrupt platform output
• Structure data storage to support different regulatory requirements across multiple countries -data from different regions must be handled according to the rules of that region

AI and Machine Learning

• Audit the existing scoring engine before making any changes -understand what it does, how it was built, and what would be lost if it were modified
• Calibrate scoring models against real portfolio data so that scores are meaningful, consistent, and comparable across different startup types and stages
• Build confidence scoring logic that determines when the system is certain enough to act autonomously and when it should route to human review
• Ensure every model output is explainable -investors must be able to see exactly which data points drove a score, not just the final number
• Build a feedback loop so that real-world outcomes feed back into the model over time, making it progressively more accurate
• Maintain a structured data store of assessment outputs and outcomes that the model uses to improve

Working With the Backend Engineer

• Define a clear data contract at the handoff point -what data you produce, in what format, and what the Backend Engineer can expect to receive
• Collaborate on trigger logic -what score thresholds or confidence drops should fire what system actions
• Align on data schema requirements so that the APIs the Backend Engineer builds conform to the structure your pipeline produces
• Communicate blockers early -the pipeline and backend system are built simultaneously, so delays on one side directly affect the other
• Document everything you build so the Backend Engineer and Platform Owner can understand, debug, and extend it without depending on you for every question

WHAT WE ARE LOOKING FOR

Skills are divided into two categories. Must Have means the role cannot function without it. Good to Have means it gives you an edge.

Skill

Priority

Data Engineering

Building and maintaining data pipelines from multiple sources

Must Have

Data normalization and schema design

Must Have

Automated data quality validation

Must Have

API integration across different source types

Must Have

Pipeline orchestration and scheduling

Must Have

Cloud infrastructure -storage, compute, and deployment

Must Have

Version control and code documentation

Must Have

AI and Machine Learning

Building and calibrating supervised machine learning models

Must Have

Model explainability -making model outputs traceable and interpretable

Must Have

Confidence scoring and threshold calibration

Must Have

Experiment tracking and model versioning

Must Have

Building feedback loops that improve models over time using real-world outcomes

Must Have

Natural language processing or document understanding

Good to Have

Vector databases and semantic search

Good to Have

Collaboration and Context

Ability to define clear data contracts and handoff points with backend engineers

Must Have

Clear written documentation of pipeline logic, model decisions, and failure modes

Must Have

Prior experience working in or with early-stage startups

Good to Have

Exposure to financial data, investment platforms, or data verification systems

Good to Have

WHAT WE OFFER

• Competitive compensation based on experience -discussed during the interview process
• Ownership of both the data and intelligence layers from Day 1 -this is not a support or maintenance role
• Direct access to the Platform Owner and Founder 
• Close collaboration with a Backend Engineer from Day 1 -the two roles are designed to work as a unit
• Work on a genuinely novel problem in an emerging market context
• On-site Kolkata with a small, high-accountability team
• Opportunity to scale the platform across multiple international markets

Job Description:

We are seeking a Senior AI Developer to join our dynamic team and lead AI-driven projects. This role requires a blend of advanced technical expertise in AI and machine learning, exceptional problem-solving abilities, and experience in building and deploying scalable AI solutions.

Key Responsibilities:

• Machine Learning & AI: Expertise in ML algorithms, especially for classification, anomaly detection, and predictive analytics.
• Cloud Platforms: Proficiency in Google Cloud Platform (GCP) services, including Cloud Run, BigQuery, and Vertex AI.
• Programming Languages: Advanced knowledge of Python; experience with libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.
• Data Processing: Skilled in SQL, data transformations, and ETL processes, especially with BigQuery.
• Anomaly Detection: Proven experience in building and deploying anomaly detection models, particularly for network data.
• Network Data Analysis: Familiarity with analyzing network logs, IP traffic, and related data structures.
• DevOps & CI/CD: Experience with CI/CD pipelines for ML model deployment, particularly with tools like Cloud Build.

About the company:

Our client is a start-up organization founded in 2014 by experienced professionals and is now in its 22nd year of serving global customers after merging with 4Cplus. They specialise in Management Consulting, Technology Services, and Business Transformation Outsourcing, committed to providing their customers with exceptional experiences.

About the role:

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions within the SAP landscape.
• Lead and actively participate in at least 4 end-to-end implementation projects and provide expertise throughout the project lifecycle.
• Provide support for multiple SAP projects, ensuring the highest level of system availability and performance.
• Install, configure, and upgrade SAP systems, including SAP NetWeaver, SAP S/4HANA, and related components.
• Utilize your in-depth knowledge of operating systems (Windows, Linux, Unix) and system architecture to optimize system performance and stability.
• Work with ticketing systems to manage and prioritize support requests, ensuring timely resolution and effective communication.
• Organize SAP Basis tasks and coordinate closely with customers and other teams within the organization.
• Manage SAP databases, including MS-SQL, Oracle, DB2, Sybase, and Hana, ensuring data integrity and efficient performance.
• Perform system monitoring, performance tuning, and troubleshooting to maintain optimal system performance.
• Implement security measures, user authentication, and authorization protocols to ensure data integrity and system security.
• Execute regular system backups, disaster recovery planning, and testing to ensure data integrity and business continuity.
• Collaborate with functional teams to support system configuration, enhancements, and customizations to meet business requirements.
• Maintain documentation related to system architecture, configurations, and standard operating procedures.
• Stay current with industry trends, best practices, and advancements in SAP technology to provide innovative solutions and recommendations.

Qualifications & Skills:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 6-8 years of hands-on experience as an SAP Basis Consultant, including experience with SAP NetWeaver, SAP S/4HANA, and related components.
• Should have experience of client-facing roles
• Should have excellent communication skills
• Proven experience in working on at least 4 end-to-end implementation projects and multiple support projects.
• Strong understanding of SAP architecture, system landscapes, and best practices.
• Proficiency in SAP system installations, upgrades, and migrations.
• In-depth knowledge of operating systems (Windows, Linux, Unix) and system architecture.
• Familiarity with ticketing systems for effective issue tracking and resolution.
• Expertise in managing SAP databases such as MS-SQL, Oracle, DB2, Sybase, and Hana.
• Excellent organizational skills to manage SAP Basis tasks and follow up with stakeholders.
• Excellent communication and interpersonal skills to collaborate effectively with technical and non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced and dynamic environment.
• SAP certifications in relevant areas (e.g., SAP Certified Technology Associate) are a plus.
• Prior experience in cloud-based SAP deployments and automation tools is advantageous.

Your Roles and Responsibilities: Business Development is a critical aspect of our platform business. 1. Actively seeking out new sales opportunities through cold calling, networking and social media. 2. Calling 65-70 leads everyday 3. Setting up meetings with potential clients (parents) 4. Generating Trial Classes - Pitch Parents to take PlanetSpark trial Classes 5. Negotiate/close deals and handle complaints or objections 6. Follow and achieve department’s sales goals on a monthly, quarterly and yearly basis (3L revenue per month) 7. “Go the extra mile” to drive sale

Job Description:

  *   Understand client requirements related to their IT needs and deliver qualified consultants.

  *   Source and screen potential candidates for openings.

  *   Establish relationships with consultants/contractors in specified region.

  *   Negotiate compensation, extend offers, facilitate the placement of candidates and solicit referrals of other qualified consultants.

  *   Submit qualified candidates to open job requirements.

  *   Meet or exceed weekly goal expectations.

  *   Would be responsible for effective usage of Internal Systems/Database for recording different stages in recruitment process.

• Design and develop new user-facing features using React adhering to best coding practices and standards
• Translating designs and wireframes into high-quality code and building reusable components and front-end libraries for future use
• Consistently follows and promotes SDLC best practices: Coding standards, testing, code reviews, code comments, etc.
• Keeps key stakeholders informed about progress and problems; avoids surprises
• Building responsive web applications across a vast array of web-capable devices
• Design and architect technical solutions for the business problems
• Organizes and expresses ideas clearly and concisely
• Exhibits excellent teamwork, and strong problem-solving skills and helps achieve team goals.

• A bachelor’s or master’s degree in Computer Science or any other relevant engineering field from a reputed institute.
• Experience of 3 - 6 years as a Frontend Engineer.
• Excellent programming skills in JavaScript
• Proficient in ReactJS
• Good Exposure to AngularJS and VueJS
• Familiarity with CSS, Restful API modern build pipelines and development tools
• Good understanding of design patterns and a strong grasp of Material Design guidelines 

  
  Preferred Skills

  • Experience in developing and deploying applications on AWS, and Firebase. Experience with popular state management, frontend, and server-side rendering libraries
  • Understanding common front-end development tools (Babel, Webpack, NPM, etc.) and code versioning tools (Git and Mercurial)
  • Familiarity with Micro-frontends Architecture, Material UI, Ant Design, and GraphQL
  • Has delivered projects with end-to-end accountability
  • Identify and resolve performance and scalability issues
  • Strong desire to learn and grow, with intelligence & adaptability while building the best-in-class systems
  • Strong flair for effective communication and collaboration - you know when to push on and when to step back
    

    Additional Notes

    As we have to Bring your device policy, candidates should have a Laptop.

• Should have good hands-on experience in Informatica MDM Customer 360, Data Integration(ETL) using PowerCenter, Data Quality.
• Must have strong skills in Data Analysis, Data Mapping for ETL processes, and Data Modeling.
• Experience with the SIF framework including real-time integration
• Should have experience in building C360 Insights using Informatica
• Should have good experience in creating performant design using Mapplets, Mappings, Workflows for Data Quality(cleansing), ETL.
• Should have experience in building different data warehouse architecture like Enterprise,
• Federated, and Multi-Tier architecture.
• Should have experience in configuring Informatica Data Director in reference to the Data
• Governance of users, IT Managers, and Data Stewards.
• Should have good knowledge in developing complex PL/SQL queries.
• Should have working experience on UNIX and shell scripting to run the Informatica workflows and to control the ETL flow.
• Should know about Informatica Server installation and knowledge on the Administration console.
• Working experience with Developer with Administration is added knowledge.
• Working experience in Amazon Web Services (AWS) is an added advantage. Particularly on AWS S3, Data pipeline, Lambda, Kinesis, DynamoDB, and EMR.
• Should be responsible for the creation of automated BI solutions, including requirements, design,development, testing, and deployment